rasbt/mini-coding-agent SLOC report

As of 2026-09-03 (commit 717cae4ff10d), rasbt/mini-coding-agent contains 1,407 total lines: 899 code, 279 comments, 229 blank, across 4 files in 3 languages (top: Python 97.8%). Counted with tokei via OctoCounts.

As of 2026-09-03 (commit 717cae4ff10d), rasbt/mini-coding-agent contains 1,407 total lines: 899 code, 279 comments, 229 blank, across 4 files in 3 languages (top: Python 97.8%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving rasbt/mini-coding-agent to commit 717cae4ff10d, downloading the repository source archive, and counting every source file with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, so counting the same revision again reproduces exactly these numbers.

Repository size insights

This is a small codebase by counted code lines. Code represents 63.9% of all lines, comments represent 19.8%, and the repository averages 225 code lines per file. Python accounts for 97.8% of counted code.

LanguageFilesLinesCodeCommentsBlanks
Python1101987937103
TOML1242004
Markdown23640242122

Top language (Python 97.8%). Generated at .

Report FAQ

How many lines of code does rasbt/mini-coding-agent have?

rasbt/mini-coding-agent has 1,407 total lines, including 899 code lines, 279 comment lines, and 229 blank lines.

How was the rasbt/mini-coding-agent line count measured?

OctoCounts resolved the public GitHub repository to commit 717cae4ff10d, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

What commit was counted for rasbt/mini-coding-agent?

This OctoCounts report was generated from main at commit 717cae4ff10d on 2026-09-03T01:25:39.998824456+00:00.

Similar repository reports

Other public repositories with an OctoCounts report, ranked by top language and code size similarity: